Application of support vector machine models for forecasting solar and wind energy resources: A review

A Zendehboudi, MA Baseer, R Saidur - Journal of cleaner production, 2018 - Elsevier
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …

A review on global solar radiation prediction with machine learning models in a comprehensive perspective

Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …

ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment

VH Quej, J Almorox, JA Arnaldo, L Saito - Journal of Atmospheric and Solar …, 2017 - Elsevier
Daily solar radiation is an important variable in many models. In this paper, the accuracy and
performance of three soft computing techniques (ie, adaptive neuro-fuzzy inference system …

Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters

R Meenal, AI Selvakumar - Renewable Energy, 2018 - Elsevier
This paper evaluates the accuracy of Support Vector Machine (SVM), Artificial Neural
Network (ANN) and empirical solar radiation models with different combination of input …

Economic evaluation of hybrid energy systems for rural electrification in six geo-political zones of Nigeria

L Olatomiwa, S Mekhilef, ASN Huda, OS Ohunakin - Renewable Energy, 2015 - Elsevier
Rural electrification improves the quality of life of rural dwellers having limited or non-access
to electricity through decentralized electricity coverage. Since the price of oil is unstable and …

Hybrid renewable energy supply for rural healthcare facilities: An approach to quality healthcare delivery

L Olatomiwa, R Blanchard, S Mekhilef… - … Energy Technologies and …, 2018 - Elsevier
The lack of modern electricity supply has been a major impediment to proper functioning of
the healthcare centers in the rural areas, contributing to high maternal and child mortality …

A comprehensive review on biomass and solar energy for sustainable energy generation in Nigeria

A Giwa, A Alabi, A Yusuf, T Olukan - Renewable and Sustainable Energy …, 2017 - Elsevier
Nigeria is the most populous country in Africa (7th most populous in the world) and it is
strategic to the realization of the United Nations' Sustainable Development Goals (SDGs) by …

[HTML][HTML] Assessment of technical and economic feasibility for a hybrid PV-wind-diesel-battery energy system in a remote community of north central Nigeria

S Salisu, MW Mustafa, L Olatomiwa… - Alexandria Engineering …, 2019 - Elsevier
The perpetual dwindling of fossil fuel and its environmental impacts has become a thing of
great concern as most countries in the world depend on it for energy generation. The …

Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

B Keshtegar, C Mert, O Kisi - Renewable and sustainable energy reviews, 2018 - Elsevier
In this study, four different heuristic regression methods including Kriging, response surface
method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have …

The potential of novel data mining models for global solar radiation prediction

A Sharafati, K Khosravi, P Khosravinia… - International Journal of …, 2019 - Springer
Advance knowledge of solar radiation is highly essential for multiple energy devotions such
as sustainability in energy production and development of solar energy system. The current …